Data Science & Decision Analytics Lead

Job Details

<Job Title>

16937 Data Science & Decision Analytics Lead

<Job Descriptions>

・Supports evaluation, development and improvement of functional capabilities related to econometric modeling, segmentation, test & learn frameworks, customer analytics, multi-channel marketing (MCM) analytic, and RWE analytics
・Develops response models, resource allocation simulations, and pro-forma investment analysis; ensures brand level resource allocation recommendations align with tactical choices and actual channel level activities, establishing a link between strategic choice and operational execution
・Executes hands on analytics (proof of concept, sandbox, testing) while possibly
managing 3rd party vendors & consultants to execute specific data / analytical tasks
・Builds relationships and proactively partners with Business Unit stakeholders, enabling functions and broader matrix teams in order to transform internal business questions into data / AI analytical solutions and eventually drive adoption / implementation of these solutions in line with organization’s strategy
・Employs disruptive thinking to improve value to the business and our patients through deepened market understanding, streamlined business engagement and practically applied, data driven analytics
・Liaises with Worldwide, other geographies and functional teams for efficient sharing and strategic adoption of learnings and capabilities, contributes to the development and deployment of innovative analytical approaches and best practices
・Identifies relevant data sources and analytics technology, coordinates acquisition with procurement teams
・ (Disclaimer: The responsibilities listed above are only a summary and other
responsibilities will be requirements as assigned)
・3rd party vendors / consultants

<Qualifications>

Degree/Certification/Licensure:
・BA/BS required
・MBA / graduate degree preferred
Experience:
・5+ years of analytical experience
・Experience with AI in pharma space (e.g. next best action platforms, AI based RWE analytics) preferred
Knowledge, skills, abilities, other:
・Analytical skills with working knowledge of applied statistics
・Background in AI based analytics with knowledge of evolving AI technology
・Strong creative problem-solving skills
・Ability to connect analytics with the overarching business questions
・Business partnership skills (influencing, negotiating, and interacting with senior
management)
・Strong written and verbal communication skills
・English + Japanese
Software that must be used independently and without assistance:
・Proficiency in SAS/R/Python, SQL, Tableau, Spotfire, MS Office Suite and Web
analytics tools (e.g. Adobe Analytics, Google Analytics)

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